package com.pwt.config;

import org.springframework.beans.factory.annotation.Value;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.scheduling.annotation.EnableAsync;
import org.springframework.scheduling.concurrent.ThreadPoolTaskExecutor;

import java.util.concurrent.Executor;
import java.util.concurrent.ThreadPoolExecutor;

@Configuration
@EnableAsync
public class ExecutorConfig {

    @Value("${async.executor.thread.corePoolSize}")
    private int corePoolSize;

    @Value("${async.executor.thread.maxPoolSize}")
    private int maxPoolSize;

    @Value("${async.executor.thread.queueCapacity}")
    private int queueCapacity;

    @Value("${async.executor.thread.namePrefix}")
    private String namePrefix;

    @Bean(name = "asyncServerExecutor")
    public Executor asyncServerExecutor(){
        ThreadPoolTaskExecutor executor = new ThreadPoolTaskExecutor();
        //配置核心线程数
        executor.setCorePoolSize(corePoolSize);
        //配置最大线程数
        executor.setMaxPoolSize(maxPoolSize);
        //配置队列大小
        executor.setQueueCapacity(queueCapacity);
        //配置线程池中线程的前缀名
        executor.setThreadNamePrefix(namePrefix);
        // rejection-policy:当pool已经达到max size的时候&#xff0c;如何处理新任务
        // CALLER_RUNS:不在新线程中执行任务&#xff0c;而是有调用者所在的线程来执行
        executor.setRejectedExecutionHandler(new ThreadPoolExecutor.CallerRunsPolicy());

        executor.initialize();
        return executor;
    }
}
